Advertisement

Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks

  • Stephen Grossberg
Chapter
Part of the Boston Studies in the Philosophy of Science book series (BSPS, volume 70)

Abstract

This article is the first of a series to globally analyse competitive dynamical systems. The article suggests that competition solves a sensitivity problem that confronts all cellular systems: the noise-saturation dilemma. Low energy input patterns can be registered poorly by cells due to their internal noise. High energy input patterns can be registered poorly by cells because their sensitivity approaches zero when all their sites are turned on. How do cells balance between the two equally deadly, but complementary, extremes of noise and saturation? How do cells achieve a Golden Mean?

Keywords

Short Term Memory Sigmoid Function External Input Excitatory Input Inhibitory Input 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anderson, P., Gross, G. N., Lomo, T., and Sveen, O. (1969). In The Interneuron, M. Brazier, Ed. Los Angeles: Univ. of California Press, 415.Google Scholar
  2. Bellman, R. (1967). Introduction to the Mathematical Theory of Control Processes, Vol. I, New York: Academic Press.Google Scholar
  3. Blakemore, C., and Campbell, F. W. (1969). J. Physiol., 203, 237.Google Scholar
  4. Eccles, J. C., Ito, M., and Szentagothai, J. (1967). The Cerebellum as a Neuronal Machine, New York: Springer.Google Scholar
  5. Estes, W. K. (1972). In Coding Processes in Human Memory, A. W. Melton and E. Martin, Eds. Washington, D.C.: V. H. Winston and Sons.Google Scholar
  6. Freeman, W. J. (1969). J. of Biomedical Systems, 1, 3.Google Scholar
  7. Grossberg, S. (1970). J. Theoret. Biol., 27, 291.CrossRefGoogle Scholar
  8. Grossberg, S. (1971a). J. Theoret. Biol, 33, 225.CrossRefGoogle Scholar
  9. Grossberg, S. (1971b). Proc. Nat’l. Acad. Sci. USA, 68, 828.CrossRefGoogle Scholar
  10. Grossberg, S. (1972a). Math. Biosci., 15, 39.CrossRefGoogle Scholar
  11. Grossberg, S. (1972B). Math. Biosci., 15, 253.CrossRefGoogle Scholar
  12. Grossberg, S. (1972C). Kybernetik, 10, 49.CrossRefGoogle Scholar
  13. Grossberg, S. (1973). Classical and instrumental learning by neural networks. To appear in Progress in Theoretical Biology.Google Scholar
  14. Grossberg, S., and Pepe, J. J. of Statistical Physics, 3, 95.CrossRefGoogle Scholar
  15. Hodgkin, A. L. (1964). The Conduction of the Nervous Impulse, Springfield: C. C. Thomas.Google Scholar
  16. Hubel, D. H., and Wiesel, T. N. (1968). In Physiological and Biochemical Aspects of Nervous Integration, F. D., Carlson, Ed. Englewood Cliffs: Prentice-Hall, 153.Google Scholar
  17. John, E. Roy (1966). In Frontiers in Physiological Psychology, R. W. Russell, Ed., New York: Academic Press, 149.Google Scholar
  18. Kernell, D. (1965a). Acta. Physiol. Scand., 65, 65.CrossRefGoogle Scholar
  19. Kernell, D. (1965b). Acta. Physiol. Scand., 65, 74.CrossRefGoogle Scholar
  20. Logan, F. A. (1969). In “Punishment and Aversive Behavior,” New York: Appleton-Century-Crofts.Google Scholar
  21. Macrides, F., and Chorover, S. L. (1972). Science, 175, 85.CrossRefGoogle Scholar
  22. Matthews, P. B. C. (1972). Mammalian Muscle Receptors and their Central Actions, London: E. Arnold, Ltd.Google Scholar
  23. Miller, N. E., (1963). In Nebraska Symposium on Motivation, M. R. Jones, Ed. Lincoln: University of Nebraska Press.Google Scholar
  24. Milner, B. (1958). In The Brain and Human Behavior, H. C. Solomon, S. Cobb, and W. Penfield, Eds. Baltimore: Williams and Wilkins.Google Scholar
  25. Nicolis, G. (1971). In Advances in Chemical Physics, Vol. XIX. I. Prigogine and S. N. Rice, Eds. New York: Wiley, 209.CrossRefGoogle Scholar
  26. Olds, J. (1969). Amer. Psychologist, 24, 114.CrossRefGoogle Scholar
  27. Penfield, W. (1958). The Excitable Cortex in Conscious Man, Liverpool: Liverpool University Press.Google Scholar
  28. Rall, W. (1955a). J. Cell. Comp. Physiol., 46, 3.Google Scholar
  29. Rall, W. (1955b). J. Cell. Comp. Physiol., 46, 373.CrossRefGoogle Scholar
  30. Rall, W. (1955C). J. Cell. Comp. Physiol, 46, 413.CrossRefGoogle Scholar
  31. Ratliff, F. (1965). Mach Bands: Quantitative Studies on Neural Networks in the Retina, San Francisco: Holden Day.Google Scholar
  32. Sperling, G. (1970). Perception and Psychophysics, 8, 143.CrossRefGoogle Scholar
  33. Sperling, G., and Sondhi, M. M. (1968). J. of the Optical Soc. of America, 58, 1133.CrossRefGoogle Scholar
  34. Stefanis, c. (1969). In The Interneuron, M. Brazier, Ed. Los Angeles: University of California Press, 497.Google Scholar
  35. Trabasso, T., and Bower, G. H. (1968). Attention in Learning: Theory and Research, New York: Wiley.Google Scholar
  36. Wagner, A. R. (1969). In Punishment and Aversive Behavior, B. A. Campbell and R. M. Church, Eds. New York: Appleton-Century-Crofts, 157.Google Scholar
  37. West, L. J. (1962). Hallucinations, New York: Grune and Stratton.Google Scholar
  38. Wilson, H. R., and Cowan, J. D. (1972). Biophysical Journal, 12, 1.CrossRefGoogle Scholar

Copyright information

© D. Reidel Publishing Company, Dordrecht, Holland 1982

Authors and Affiliations

  • Stephen Grossberg
    • 1
  1. 1.Department of MathematicsBoston UniversityUSA

Personalised recommendations